Teresa Goodman

31 papers receiving 313 citations

Peers

Teresa Goodman
Comparison fields: 5 of 90
  • Aerospace Engineering 127
  • Global and Planetary Change 88
  • Atomic and Molecular Physics, and Optics 85
  • Atmospheric Science 49
  • Electrical and Electronic Engineering 43
Replace Alicia Pons Aglio with:
Alicia Pons Aglio Spain
J. Richard Kerr United States
Hugh S. Fairman United States
M. Garcia France
S. Langlois France
Anders Thorseth Denmark
Richard J. Becherer United States
J. Jacobson United States
Giuseppe Rossi Italy
Daniel Vázquez Spain
Teresa Goodman relative to Alicia Pons Aglio Spain Alicia Pons Aglio's profile →
Citations per field
00.5×1.5×1.9×
Alicia Pons Aglio · 1×
Citations per year

Countries citing papers authored by Teresa Goodman

Since Specialization
Citations

This map shows the geographic impact of Teresa Goodman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Teresa Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teresa Goodman more than expected).

Fields of papers citing papers by Teresa Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teresa Goodman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Teresa Goodman. The network helps show where Teresa Goodman may publish in the future.

Co-authorship network of co-authors of Teresa Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Teresa Goodman. A scholar is included among the top collaborators of Teresa Goodman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teresa Goodman. Teresa Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 4
3 5
4 2
5 50
6 2
7 3
8 12
9
Model development to predict perceived degree of naturalness
5
10 26
11
The Measurement of Naturalness
3
12
Measuring Physical and visual material properties to determine their perceives degree of naturalness
2
13
Development of a multispectral texture measurement facility for use in an EU-funded study of the naturalness of surfaces.
1
14
P146-M A Fast, Easy, Accurate Method for Protein Quantitation
2
15 11
16 26
17 2
18
Making measurements in the Mesopic region.
1
19
Validation of radiation heat transfer in CATHENA
2
20 12

About Teresa Goodman

Teresa Goodman is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering and Atmospheric Science, having authored 32 papers that have together received 349 indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (14 papers), Scientific Measurement and Uncertainty Evaluation (6 papers) and Atmospheric Ozone and Climate (6 papers). The work is most often cited by research in Aerospace Engineering (127 citations), Global and Planetary Change (88 citations) and Statistics, Probability and Uncertainty (26 citations). Teresa Goodman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include P. J. Key, Michał Mackiewicz, Graham D. Finlayson, Michael Shaw, G.R. Hopkinson, Helen C. Walkey, Liisa Halonen, J.W.A.M. Alferdinck, Péter Bodrogi and Marjukka Eloholma. Their work appears in journals such as Journal of the Optical Society of America A, Electrophoresis and Lasers in Surgery and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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